Senior Azure AI Consultant
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Job Description
Lead AI consulting engagements focused on Microsoft AI platforms for UK public sector organizations. Provide end-to-end advisory, design, deployment, and stakeholder facilitation services.
Responsibilities:
- Lead structured AI advisory and enablement engagements, including AI readiness assessments, use‑case discovery workshops and Centre of Excellence (CoE) programmes.
- Deliver end‑to‑end enablement for Microsoft AI platforms, with a strong focus on Microsoft Foundry and Azure OpenAI Service.
- Design, deploy and configure Azure AI solutions hands‑on, ensuring customers have working reference environments they can build upon.
- Facilitate executive‑level workshops and stakeholder sessions to identify AI opportunities and develop business cases.
- Develop AI adoption roadmaps, governance frameworks and technical reference architectures.
- Act as a trusted advisor to senior customer stakeholders, translating business challenges into practical AI‑enabled solutions.
- Work closely with the AI Practice Lead and Technical Architects to design, refine and improve repeatable engagement frameworks and service offerings.
- Produce high‑quality customer deliverables including strategy documents, technical designs, deployment guides and assessment reports.
- Stay current with Microsoft AI platform developments, emerging capabilities and wider industry trends.
- Provide regular feedback on customer needs, market trends and opportunities for new AI services.
- Support pre‑sales activity including discovery calls, technical demonstrations, proposal input and customer presentations.
Requirements:
- Strong customer‑facing consulting skills with the ability to build trust at senior stakeholder level.
- Excellent communication, presentation and workshop facilitation skills.
- Proven ability to lead and deliver complex technical engagements independently.
- Strong hands‑on experience deploying and configuring Azure AI services, particularly Microsoft Foundry and Azure OpenAI.
- Solid understanding of AI and GenAI concepts including RAG architectures, agents, prompt engineering and responsible AI principles.
- Experience working across Azure infrastructure fundamentals to support AI workloads end‑to‑end.
- Commercial awareness and ability to contribute effectively to pre‑sales and service shaping activities.
- Strategic thinker with a continuous improvement mindset and strong problem‑solving skills.
- Consultancy or professional services background preferred.
- Public sector experience (e.g. councils, NHS, education, charities or blue‑light services) desirable.
- SC clearance, or eligibility to obtain SC clearance, desirable.
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